This presentation is part of the "Executive Summit":http://strataconf.com/strata2011/public/schedule/detail/17165.
There has been an explosion in database technology designed to handle big data and deep analytics from both established vendors and startups. This session will provide a quick tour of the primary technology innovations and systems powering the analytic database landscape — from data warehousing appliances and columnar databases to massively parallel processing and in-memory technology. The goal is to help you understand the strengths and limitations of these alternatives and how they are evolving so you can select technology that is best suited to your organization and needs.
Mark Madsen designs and build analysis and decision support systems, and data management and access infrastructure. His research focus is on analysis techniques, emerging technology, and practices in analytics, BI, information management, user experience for data access, and delivery applications. He speaks at a lot of conferences on anything data, with a bunch of history of science and technology mixed in.
Mark focuses on two types of work: using data to make decisions and manage organizations, and building data technology infrastructure. A big part of making decisions and using data in a corporate setting is ensuring that the right data capture and data delivery infrastructure is in place to manage the business. As a result, Mark does as much information strategy and IT architecture work as he does performance management and decision support. His spare-time projects involve research on history of communication technology adoption and fieldwork in ecology, specializing in botany.
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